Raghu, Raghav (2025) Deep Learning and Machine Learning to improve the operation of a shared bike system, a case study of DublinBikes. Masters thesis, Dublin, National College of Ireland.
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Abstract
Bike sharing is one of the most important modes of transport, DublinBikes is one of the most used services in Dublin for the same. There has been various research done on historical data and there have been multiple evidence that machine learning algorithms help identify a lot of flaws and issues in the system, and with that we can help improve the service for a smooth operation of a service so heavily dependent for the people of Dublin. If we also include deep learning algorithms to the already implemented machine learning results, we can find a deeper more accurate or even insightful results to help identify more problems if not already found. Finally simulating the bike usage patterns can help present the issues to the common man in a simpler way.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Thomas, Lavish UNSPECIFIED |
| Uncontrolled Keywords: | DublinBikes; Machine Learning; Deep Learning; Simulation |
| Subjects: | Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning H Social Sciences > HE Transportation and Communications > Urban Transportation |
| Divisions: | School of Computing > Master of Science in Artificial Intelligence |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 12 Aug 2026 09:27 |
| Last Modified: | 12 Aug 2026 09:27 |
| URI: | https://norma.ncirl.ie/id/eprint/9512 |
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